Senior Data Engineer Job at Adyen (Amsterdam)

Senior Data Engineer

Adyen

Location:
Netherlands , Amsterdam

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and drive the business and product insights we generate. To this end, Adyen is looking for a Senior Data Engineers in Amsterdam. We’re looking for engineers that understand the business context and the data needs behind it, and excel in implementing high-quality data pipelines on our Big Data Platform. As a Senior Data Engineer at Adyen, you will play a crucial role in shaping our data infrastructure and ensuring the seamless flow of data across various systems.

Job Responsibility:

Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions
State-of-the-Art Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Design scalable architectures
Champion Data Best Practices: Proactively establish and advocate for best practices in performance, code quality, data validation, data governance, and discoverability across Adyen through mentoring, training, and knowledge sharing
High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement rigorous testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest
Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Optimize query performance and resource utilization to meet SLAs and performance requirements, using technologies such as caching, indexing, partitioning, and other Spark optimizations

Requirements:

Over 7 years of experience working as a Data Engineer or in a similar role
Expert-level understanding of both Software and Data Engineering practices
Highly proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git
Skilled at articulating complex data-related concepts and outcomes to a diverse range of stakeholders
Capable of independently recognizing opportunities, devising solutions, leading, prioritizing and owning projects
Experimental mindset with a ‘launch fast and iterate’ mentality
Experienced in fostering a data-centric culture within large, technical organizations and setting standards for excellence and continuous improvement

Additional Information:

Job Posted:
March 05, 2026

Work Type:

On-site work

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